What is No-Code AI and how to use No-Code AI

Are you intrigued by AI but don't know where to start? No-code solutions can help you get acquainted with this field.

What is No-Code AI and how to use No-Code AI Picture 1

Exclusive knowledge about AI has become more accessible than ever. Thanks to the recent attraction of AI and the rise of no-code AI platforms. Even if you don't have a technical background, you can now tap into the potential of AI with just a few mouse clicks without writing a single line of code.

There's nothing stopping you from exploring the exciting potential of no-code AI. All you need is to understand how it works and start practicing immediately.

How does AI no-code work?

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AI no-code simply means creating programs without writing code. It is an emerging concept that eliminates the need to manually train machine learning models on some big data before you can build your own AI applications.

Like no-code programming, you can now explore many AI tools. Some of them charge a fee, others are free. Most no-code AI platforms allow you to upload your own dataset, or provide an existing dataset. However, you will certainly have a treasure trove of pre-written algorithms to train the model with simple clicks.

Most platforms allow you to compare models to determine the best fit for your situation. While manual AI development often takes days, sometimes even months, no-code AI allows you to develop and deploy a fully functioning AI in minutes.

Some examples of no-code AI platforms include:

1. DataRobot
2. Google AutoML
3. Clarifai Platform
4. MonkeyLearn
5. Google's Teachable Machine
6. Lobe
7. Apple's Create ML

The standout aspect of no-code AI here is that you don't need to struggle with complex syntax or bother with having the best station to run the underlying machine learning model. Everything you need - visualization, data wrangling, feature selection, prototyping and all the complexity - is just a few mouse clicks away.

Advantages and disadvantages of AI No-code

While no-code AI means your machine learning model will get to market quickly, it doesn't completely eliminate the challenge. Here are the outstanding advantages and disadvantages of AI no-code that you need to know:

Advantages of AI No-code:

1. Short deployment and programming time.
2. No technical expertise or coding required.
3. Reasonable price.
4. Save resources.
5. Easy to access.
6. No environment setup required.

Disadvantages of AI No-Code:

1. Depends on the platform.
2. Inflexible.
3. Samples cannot be reused.

What can you build with AI No-Code?

If you know what AI can do, you certainly know what programs to use AI no-code to build. Here are some real-life examples of what you can create with no-code AI:

1. Develop chatbots and virtual assistants using natural language models.
2. AI-powered tool to improve market analysis and ad scheduling.
3. Bots trade virtual currencies and stocks using AI.
4. Program financial planning tools using available prediction models.
5. Recommend products suitable for users based on search keywords.
6. Build general AI using large pre-built language models for content development or photo editing applications.
7. Sentiment analysis and fraud detection system.

AI No-Code is an emerging technology that improves the artificial intelligence development process. Although there are still disadvantages, AI No-Code really has promise in the future.

Lesley Montoya

Update 20 October 2023